Evidence map›Paper›PMID 34214102›Full record

Observational studyPloS one2021

Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program.

Chloé Sarnowski, Han Chen, Mary L Biggs, Sylvia Wassertheil-Smoller, Jan Bressler, Marguerite R Irvin, Kathleen A Ryan, David Karasik, Donna K Arnett, L Adrienne Cupples and 20 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Skeletal muscle omics signatures in cancer cachexia: perspectives and opportunities.Journal of the National Cancer Institute. Monographs · 2023
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Chloé SarnowskiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.ORCID 0000-0002-6090-7099
Han ChenHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America.
Mary L BiggsCardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America.
Sylvia Wassertheil-SmollerDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America.
Jan BresslerHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America.
Marguerite R IrvinDepartment of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States of America.
Kathleen A RyanDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
David KarasikHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America.
Donna K ArnettUniversity of Kentucky, College of Public Health, Lexington, KY, United States of America.ORCID 0000-0003-2219-657X
L Adrienne CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
David W FardoDepartment of Biostatistics and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States of America.
Stephanie M GogartenDepartment of Biostatistics, University of Washington, Seattle, WA, United States of America.
Benjamin D HeavnerDepartment of Biostatistics, University of Washington, Seattle, WA, United States of America.ORCID 0000-0003-2898-9044
Deepti JainDepartment of Biostatistics, University of Washington, Seattle, WA, United States of America.
Hyun Min KangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Arch G MainousDepartment of Health Services Research, Management and Policy, University of Florida, Gainesville, FL, United States of America.
Braxton D MitchellDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Alanna C MorrisonHuman Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States of America.
Jeffrey R O'ConnellDivision of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States of America.
Bruce M PsatyCardiovascular Health Unit, Department of Medicine, University of Washington, Seattle, WA, United States of America.
Kenneth RiceDepartment of Biostatistics, University of Washington, Seattle, WA, United States of America.
Albert V SmithDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United States of America.
Ramachandran S VasanNational Heart Lung and Blood Institute and Boston University's Framingham Heart Study, Framingham, MA, United States of America.
B Gwen WindhamThe MIND Center, University of Mississippi Medical Center, Jackson, MS, United States of America.
Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States of America.
Joanne M MurabitoNational Heart Lung and Blood Institute and Boston University's Framingham Heart Study, Framingham, MA, United States of America.
Kathryn L LunettaDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
TOPMed Longevity and Healthy Aging Working Group
from the NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
HYPERGEN: GENETICS OF LEFT VENTRICULAR HYPERTROPHYR01HL055673 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 1996 to 2016
$18.1M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI RYAN, ALICE S. · 2005 to 2019
$17.3M
Epidemiology of Venous Thrombosis & Pulmonary EmbolismR01HL059367 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI TANG, WEIHONG · 1998 to 2024
$11.8M
Genome-wide Search for CVD Gene-Environment InteractionsU01HL072515 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2002 to 2008
$11.2M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS U24 HG008956NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54 HG003273NHGRI NIH HHS UM1 HG008898NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201500014CNHLBI NIH HHS HHSN268201500015CNHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL055673NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL121007NHLBI NIH HHS R01 HL131136NHLBI NIH HHS U01 HL054472NHLBI NIH HHS U01 HL054473NHLBI NIH HHS U01 HL054495NHLBI NIH HHS U01 HL054509NHLBI NIH HHS U01 HL072515NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NHLBI NIH HHS U01 HL137181NIA NIH HHS R01 AG018728NIA NIH HHS R01 AG023629NIA NIH HHS R56 AG057191NIA NIH HHS U24 AG051129NIDDK NIH HHS P30 DK072488NIEHS NIH HHS HHSN268201600033C
6 · The paper itself

Abstract

Handgrip strength is a widely used measure of muscle strength and a predictor of a range of morbidities including cardiovascular diseases and all-cause mortality. Previous genome-wide association studies of handgrip strength have focused on common variants primarily in persons of European descent. We aimed to identify rare and ancestry-specific genetic variants associated with handgrip strength by conducting whole-genome sequence association analyses using 13,552 participants from six studies representing diverse population groups from the Trans-Omics in Precision Medicine (TOPMed) Program. By leveraging multiple handgrip strength measures performed in study participants over time, we increased our effective sample size by 7-12%. Single-variant analyses identified ten handgrip strength loci among African-Americans: four rare variants, five low-frequency variants, and one common variant. One significant and four suggestive genes were identified associated with handgrip strength when aggregating rare and functional variants; all associations were ancestry-specific. We additionally leveraged the different ancestries available in the UK Biobank to further explore the ancestry-specific association signals from the single-variant association analyses. In conclusion, our study identified 11 new loci associated with handgrip strength with rare and/or ancestry-specific genetic variations, highlighting the added value of whole-genome sequencing in diverse samples. Several of the associations identified using single-variant or aggregate analyses lie in genes with a function relevant to the brain or muscle or were reported to be associated with muscle or age-related traits. Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.

Indexed as

AdultAgedAged, 80 and overCohort StudiesFemaleHand StrengthHumansMaleMiddle AgedPolymorphism, Single NucleotidePrecision MedicineRacial GroupsWhole Genome Sequencing

Identifiers

PMID34214102
PMCPMC8253404

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